Advances in Artificial Intelligence in Microscopy
5 de ago. de 2020
11:00
EDT
/
16:00
BST
/
17:00
CEST
Speakers:
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Florian Jug, Ph.D
Research Group Leader, Center for Systems Biology Dresden, Max-Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany; Fondazione Human Technopole, Milano, Italy
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Martin Weigert, Ph.D
Group Leader, EPFL Lausanne, Switzerland
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Christophe Zimmer, Ph.D
Research Director, Institut Pasteur, Paris, France
The goal of this webinar is to introduce the audience to deep learning techniques for microscopy image analysis. We will give a short introduction to the foundations of deep learning for image analysis and then cover various methods for image denoising and restorations, for super-resolution microscopy, label-free prediction, and cell/object detection. After the webinar, all speakers will be available for an extensive Q&A, giving the audience the chance to ask technical as well as application specific questions. This webinar is mainly targeted to life-scientists working with microscopy image data.
Presented by: